Minitype Haptic Rendering Method Based on Active and Passive Devices

Plain English Translation

This invention relates to a minitype haptic rendering system that uses a magnetorheological (MR) damper to provide precise tactile feedback. The system addresses the challenge of achieving high-fidelity haptic sensations in compact devices by dynamically adjusting the MR damper's damping force to simulate different tactile experiences. The core method involves calibrating the MR damper to ensure accurate force output, which is essential for realistic haptic feedback. Calibration is performed using advanced algorithms such as the least squares method, neural networks, or support vector machines. These algorithms analyze the damper's response and optimize its parameters to minimize errors between the desired and actual damping forces. The calibrated MR damper then generates the required force profiles for haptic rendering, enabling applications in virtual reality, medical simulations, and interactive interfaces. The system ensures that the haptic feedback is both responsive and adaptable, enhancing user immersion and interaction quality. The use of machine learning-based calibration methods allows for real-time adjustments, improving performance in dynamic environments. This approach overcomes limitations of traditional haptic systems, which often lack precision or require bulky components. The invention provides a scalable solution for integrating high-performance haptic feedback into small-form-factor devices.